Data Scientist

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HOPPR

SiteLinkedInTodas as Vagas

11 - 50 funcionários

🤖 Inteligência Artificial

⚕️ Seguro de Saúde

💊 Farmacêutico

Artificial Intelligence • Healthcare Insurance • Pharmaceuticals

A HOPPR é uma empresa que oferece uma plataforma de IA generativa projetada para transformar a imagem médica. A empresa oferece uma infraestrutura abrangente de modelo de IA generativa para acelerar o desenvolvimento de IA para imagens médicas em várias modalidades. A HOPPR simplifica o desenvolvimento de IA com sua infraestrutura fundamental, garantindo o tratamento seguro de dados e ajuste fino de modelos de forma contínua. A empresa prioriza a privacidade e a segurança dos dados, fornecendo diversos conjuntos de dados em diferentes modalidades, anatomias, demografias e geografias. A HOPPR visa acelerar o desenvolvimento, oferecendo um ambiente GPU escalável e de alto desempenho, permitindo prototipagem mais rápida e aplicações escaláveis para pesquisa e serviços de imagem médica.

Descrição

• Join HOPPR as a Data Scientist and play a pivotal role in shaping the future of multimodal AI in medicine. • Collaborate with researchers, engineers, and clinicians to enhance data infrastructure and develop impactful solutions with vast amounts of unstructured datasets like radiology scans, patient reports, and electronic health records (EHRs). • You’ll tackle complex challenges and drive innovations that transform patient care. • Design and develop robust pipelines using advanced methods with large language models (LLMs) to extract features and label data from unstructured datasets. • Create and implement rigorous evaluation metrics to assess feature extraction processes, ensuring continuous improvement aligned with clinical and product goals. • Enhance and maintain scalable, reproducible data science infrastructure to support agile development and secure operations across partitioned client environments. • Design and implement MLOps practices to streamline, scale, and automate machine learning workflows. • Manipulate, analyze, and manage large-scale datasets using Python, SQL, and other tools. • Work closely with engineers, clinicians, and product teams to ensure data solutions are aligned with user needs and drive meaningful outcomes. • Thrive in a dynamic and rewarding environment that emphasizes excellence, autonomy, and impact.

🎯 Requisitos

• Master’s or PhD in Computer Science, Engineering, Data Science, or a related field. • 1+ years of professional data science experience, with a proven ability to train, evaluate, and deploy machine learning models, including large language models. • Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow), as well as experience with data manipulation tools like SQL, pandas, or NumPy. • Familiarity with ML Ops practices and deploying models into production pipelines (preferred). • Knowledge of healthcare data, such as radiology images or EHRs, is a plus. • Strong ownership mindset, entrepreneurial spirit, and product-focused approach to solving impactful problems.

🏖️ Benefícios

• Competitive base salary + equity. • Generous benefits: medical/dental/vision, 401k, PTO, and parental leave. • Remote first with hybrid options available at our NYC and SF Bay Area offices. • An innovative, collaborative, and supportive work environment. • Incredible teammates who inspire growth and learning.